The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Abstract: Incremental random weight networks (IRWNs) face the issues of weak generalization and complicated network structure. There is an important reason: the learning parameters of IRWNs are ...

Abstract: The traditional extreme learning machine (ELM) approach is based on a random assignment of the hidden weight values, while the linear coefficients of the output layer are determined ...

This study provides important findings that during credit assignment, the lateral orbitofrontal cortex (lOFC) and hippocampus (HC) encode causal choice representations, while the frontopolar cortex ...

A federal judge in Texas made news in January when he allowed a suit filed by Idaho, Kansas, and Missouri to proceed against the Food and Drug Administration’s approval of medication abortion, based ...

The ISCHEMIA Trial randomly assigned patients with ischemic heart disease to an invasive treatment strategy centered on revascularization with a control group assigned non-invasive medical therapy. As ...

This paper develops a novel method to identify the causal contribution of managers to team performance. The method requires repeated random assignment of managers to multiple teams and controls for ...

Chemical shift transfer (CST) is a well-established technique in NMR spectroscopy that utilizes the chemical shift assignment of one protein (source) to identify chemical shifts of another (target).

Update: There is a new version of the code base available here, which incorporates both the code for DFC from the paper "Credit Assignment in Neural Networks through Deep Feedback Control", and the ...